Yuchen Hao

According to our database, Yuchen Hao authored at least 21 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Wukong: Towards a Scaling Law for Large-Scale Recommendation.

Buyun Zhang, Liang Luo, Yuxin Chen, Jade Nie, Xi Liu, Daifeng Guo, Yanli Zhao, Shen Li, Yuchen Hao, Yantao Yao, Guna Lakshminarayanan, Ellie Dingqiao Wen, Jongsoo Park, Maxim Naumov, Wenlin Chen

CoRR, 2024

Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large-Scale Recommendation.

Liang Luo, Buyun Zhang, Michael Tsang, Yinbin Ma, Ching-Hsiang Chu, Yuxin Chen, Shen Li, Yuchen Hao, Yanli Zhao, Guna Lakshminarayanan, Ellie Dingqiao Wen, Jongsoo Park, Dheevatsa Mudigere, Maxim Naumov

CoRR, 2024

2023

PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.

Yanli Zhao, Andrew Gu, Rohan Varma, Liang Luo, Chien-Chin Huang, Min Xu, Less Wright, Hamid Shojanazeri, Myle Ott, Sam Shleifer, Alban Desmaison, Can Balioglu, Pritam Damania, Bernard Nguyen, Geeta Chauhan, Yuchen Hao, Ajit Mathews, Shen Li

Proc. VLDB Endow., 2023

Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale.

Wei Wen, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Hang Yin, Weiwei Chu, Kaveh Hassani, Mengying Sun, Jiang Liu, Xu Wang, Lin Jiang, Yuxin Chen, Buyun Zhang, Xi Liu, Dehua Cheng, Zhengxing Chen, Guang Zhao, Fangqiu Han, Jiyan Yang, Yuchen Hao, Liang Xiong, Wen-Yen Chen

CoRR, 2023

PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.

Yanli Zhao, Andrew Gu, Rohan Varma, Liang Luo, Chien-Chin Huang, Min Xu, Less Wright, Hamid Shojanazeri, Myle Ott, Sam Shleifer, Alban Desmaison, Can Balioglu, Bernard Nguyen, Geeta Chauhan, Yuchen Hao, Shen Li

CoRR, 2023

MTIA: First Generation Silicon Targeting Meta's Recommendation Systems.

Amin Firoozshahian, Joel Coburn, Roman Levenstein, Rakesh Nattoji, Ashwin Kamath, Olívia Wu, Gurdeepak Grewal, Harish Aepala, Bhasker Jakka, Bob Dreyer, Adam Hutchin, Utku Diril, Krishnakumar Nair, Ehsan K. Ardestani, Martin Schatz, Yuchen Hao, Rakesh Komuravelli, Kunming Ho, Sameer Abu Asal, Joe Shajrawi, Kevin Quinn, Nagesh Sreedhara, Pankaj Kansal, Willie Wei, Dheepak Jayaraman, Linda Cheng, Pritam Chopda, Eric Wang, Ajay Bikumandla, Arun Karthik Sengottuvel, Krishna Thottempudi, Ashwin Narasimha, Brian Dodds, Cao Gao, Jiyuan Zhang, Mohammed Al-Sanabani, Ana Zehtabioskuie, Jordan Fix, Hangchen Yu, Richard Li, Kaustubh Gondkar, Jack Montgomery, Mike Tsai, Saritha Dwarakapuram, Sanjay Desai, Nili Avidan, Poorvaja Ramani, Karthik Narayanan, Ajit Mathews, Sethu Gopal, Maxim Naumov, Vijay Rao, Krishna Noru, Harikrishna Reddy, Prahlad Venkatapuram, Alexis Bjorlin

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

Software-Hardware Co-design of Heterogeneous SmartNIC System for Recommendation Models Inference and Training.

Anqi Guo, Yuchen Hao, Chunshu Wu, Pouya Haghi, Zhenyu Pan, Min Si, Dingwen Tao, Ang Li, Martin C. Herbordt, Tong Geng

Proceedings of the 37th International Conference on Supercomputing, 2023

2022

DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction.

Buyun Zhang, Liang Luo, Xi Liu, Jay Li, Zeliang Chen, Weilin Zhang, Xiaohan Wei, Yuchen Hao, Michael Tsang, Wenjun Wang, Yang Liu, Huayu Li, Yasmine Badr, Jongsoo Park, Jiyan Yang, Dheevatsa Mudigere, Ellie Wen

CoRR, 2022

New enhanced clustering algorithms for patient referrals in medical consortia.

Yuchen Hao, Jianghua Zhang, Weibo Liu, Mark Goh

Comput. Ind. Eng., 2022

Software-hardware co-design for fast and scalable training of deep learning recommendation models.

Dheevatsa Mudigere, Yuchen Hao, Jianyu Huang, Zhihao Jia, Andrew Tulloch, Srinivas Sridharan, Xing Liu, Mustafa Ozdal, Jade Nie, Jongsoo Park, Liang Luo, Jie Amy Yang, Leon Gao, Dmytro Ivchenko, Aarti Basant, Yuxi Hu, Jiyan Yang, Ehsan K. Ardestani, Xiaodong Wang, Rakesh Komuravelli, Ching-Hsiang Chu, Serhat Yilmaz, Huayu Li, Jiyuan Qian, Zhuobo Feng, Yinbin Ma, Junjie Yang, Ellie Wen, Hong Li, Lin Yang, Chonglin Sun, Whitney Zhao, Dimitry Melts, Krishna Dhulipala, K. R. Kishore, Tyler Graf, Assaf Eisenman, Kiran Kumar Matam, Adi Gangidi, Guoqiang Jerry Chen, Manoj Krishnan, Avinash Nayak, Krishnakumar Nair, Bharath Muthiah, Mahmoud khorashadi, Pallab Bhattacharya, Petr Lapukhov, Maxim Naumov, Ajit Mathews, Lin Qiao, Mikhail Smelyanskiy, Bill Jia, Vijay Rao

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

2021

High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models.

Dheevatsa Mudigere, Yuchen Hao, Jianyu Huang, Andrew Tulloch, Srinivas Sridharan, Xing Liu, Mustafa Ozdal, Jade Nie, Jongsoo Park, Liang Luo, Jie Amy Yang, Leon Gao, Dmytro Ivchenko, Aarti Basant, Yuxi Hu, Jiyan Yang, Ehsan K. Ardestani, Xiaodong Wang, Rakesh Komuravelli, Ching-Hsiang Chu, Serhat Yilmaz, Huayu Li, Jiyuan Qian, Zhuobo Feng, Yinbin Ma, Junjie Yang, Ellie Wen, Hong Li, Lin Yang, Chonglin Sun, Whitney Zhao, Dimitry Melts, Krishna Dhulipala, K. R. Kishore, Tyler Graf, Assaf Eisenman, Kiran Kumar Matam, Adi Gangidi, Guoqiang Jerry Chen, Manoj Krishnan, Avinash Nayak, Krishnakumar Nair, Bharath Muthiah, Mahmoud khorashadi, Pallab Bhattacharya, Petr Lapukhov, Maxim Naumov, Lin Qiao, Mikhail Smelyanskiy, Bill Jia, Vijay Rao

CoRR, 2021

2020

Identifying Experts in Community Question Answering Website Based on Graph Convolutional Neural Network.

Chen Liu, Yuchen Hao, Wei Shan, Zhihong Dai

IEEE Access, 2020

Reconfigurable Accelerator Compute Hierarchy: A Case Study using Content-Based Image Retrieval.

Nazanin Farahpour, Yuchen Hao, Zhenman Fang, Glenn Reinman

Proceedings of the IEEE International Symposium on Workload Characterization, 2020

2019

In-Depth Analysis on Microarchitectures of Modern Heterogeneous CPU-FPGA Platforms.

Young-kyu Choi, Jason Cong, Zhenman Fang, Yuchen Hao, Glenn Reinman, Peng Wei

ACM Trans. Reconfigurable Technol. Syst., 2019

2018

Architectural Techniques to Enhance the Efficiency of Accelerator-Centric Architectures.

Yuchen Hao

PhD thesis, 2018

Best-Effort FPGA Programming: A Few Steps Can Go a Long Way.

Jason Cong, Zhenman Fang, Yuchen Hao, Peng Wei, Cody Hao Yu, Chen Zhang, Peipei Zhou

CoRR, 2018

2017

Supporting Address Translation for Accelerator-Centric Architectures.

Yuchen Hao, Zhenman Fang, Glenn Reinman, Jason Cong

Proceedings of the 2017 IEEE International Symposium on High Performance Computer Architecture, 2017

2016

A quantitative analysis on microarchitectures of modern CPU-FPGA platforms.

Young-kyu Choi, Jason Cong, Zhenman Fang, Yuchen Hao, Glenn Reinman, Peng Wei

Proceedings of the 53rd Annual Design Automation Conference, 2016

2015

On-chip interconnection network for accelerator-rich architectures.

Jason Cong, Michael Gill, Yuchen Hao, Glenn Reinman, Bo Yuan

Proceedings of the 52nd Annual Design Automation Conference, 2015

2014

Hardware Acceleration for an Accurate Stereo Vision System Using Mini-Census Adaptive Support Region.

Yi Shan, Yuchen Hao, Wenqiang Wang, Yu Wang, Xu Chen, Huazhong Yang, Wayne Luk

ACM Trans. Embed. Comput. Syst., 2014

2012

FPGA based memory efficient high resolution stereo vision system for video tolling.

Yi Shan, Zilong Wang, Wenqiang Wang, Yuchen Hao, Yu Wang, Kuen Hung Tsoi, Wayne Luk, Huazhong Yang

Proceedings of the 2012 International Conference on Field-Programmable Technology, 2012